DataSolution (Korea) Market Value
| 263800 Stock | 4,505 55.00 1.24% |
| Symbol | DataSolution |
Please note, there is a significant difference between DataSolution's value and its price as these two are different measures arrived at by different means. Investors typically determine if DataSolution is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, DataSolution's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.
DataSolution 'What if' Analysis
In the world of financial modeling, what-if analysis is part of sensitivity analysis performed to test how changes in assumptions impact individual outputs in a model. When applied to DataSolution's stock what-if analysis refers to the analyzing how the change in your past investing horizon will affect the profitability against the current market value of DataSolution.
| 12/17/2024 |
| 03/17/2025 |
If you would invest 0.00 in DataSolution on December 17, 2024 and sell it all today you would earn a total of 0.00 from holding DataSolution or generate 0.0% return on investment in DataSolution over 90 days. DataSolution is related to or competes with Digital Power, Genie Music, Hankukpackage, Seoul Electronics, PlayD Co, PLAYWITH, and Nable Communications. More
DataSolution Upside/Downside Indicators
Understanding different market momentum indicators often help investors to time their next move. Potential upside and downside technical ratios enable traders to measure DataSolution's stock current market value against overall market sentiment and can be a good tool during both bulling and bearish trends. Here we outline some of the essential indicators to assess DataSolution upside and downside potential and time the market with a certain degree of confidence.
| Information Ratio | 0.0185 | |||
| Maximum Drawdown | 15.13 | |||
| Value At Risk | (3.97) | |||
| Potential Upside | 5.7 |
DataSolution Market Risk Indicators
Today, many novice investors tend to focus exclusively on investment returns with little concern for DataSolution's investment risk. Other traders do consider volatility but use just one or two very conventional indicators such as DataSolution's standard deviation. In reality, there are many statistical measures that can use DataSolution historical prices to predict the future DataSolution's volatility.| Risk Adjusted Performance | (0) | |||
| Jensen Alpha | (0.000099) | |||
| Total Risk Alpha | 0.3699 | |||
| Treynor Ratio | (0.11) |
DataSolution Backtested Returns
DataSolution secures Sharpe Ratio (or Efficiency) of -0.0233, which denotes the company had a -0.0233 % return per unit of risk over the last 3 months. DataSolution exposes twenty-four different technical indicators, which can help you to evaluate volatility embedded in its price movement. Please confirm DataSolution's Variance of 11.1, standard deviation of 3.33, and Mean Deviation of 2.48 to check the risk estimate we provide. The firm shows a Beta (market volatility) of 0.43, which means possible diversification benefits within a given portfolio. As returns on the market increase, DataSolution's returns are expected to increase less than the market. However, during the bear market, the loss of holding DataSolution is expected to be smaller as well. At this point, DataSolution has a negative expected return of -0.0647%. Please make sure to confirm DataSolution's maximum drawdown, potential upside, and the relationship between the treynor ratio and value at risk , to decide if DataSolution performance from the past will be repeated at some point in the near future.
Auto-correlation | -0.63 |
Very good reverse predictability
DataSolution has very good reverse predictability. Overlapping area represents the amount of predictability between DataSolution time series from 17th of December 2024 to 31st of January 2025 and 31st of January 2025 to 17th of March 2025. The more autocorrelation exist between current time interval and its lagged values, the more accurately you can make projection about the future pattern of DataSolution price movement. The serial correlation of -0.63 indicates that roughly 63.0% of current DataSolution price fluctuation can be explain by its past prices.
| Correlation Coefficient | -0.63 | |
| Spearman Rank Test | -0.41 | |
| Residual Average | 0.0 | |
| Price Variance | 73.3 K |
DataSolution lagged returns against current returns
Autocorrelation, which is DataSolution stock's lagged correlation, explains the relationship between observations of its time series of returns over different periods of time. The observations are said to be independent if autocorrelation is zero. Autocorrelation is calculated as a function of mean and variance and can have practical application in predicting DataSolution's stock expected returns. We can calculate the autocorrelation of DataSolution returns to help us make a trade decision. For example, suppose you find that DataSolution has exhibited high autocorrelation historically, and you observe that the stock is moving up for the past few days. In that case, you can expect the price movement to match the lagging time series.
Current and Lagged Values |
| Timeline |
DataSolution regressed lagged prices vs. current prices
Serial correlation can be approximated by using the Durbin-Watson (DW) test. The correlation can be either positive or negative. If DataSolution stock is displaying a positive serial correlation, investors will expect a positive pattern to continue. However, if DataSolution stock is observed to have a negative serial correlation, investors will generally project negative sentiment on having a locked-in long position in DataSolution stock over time.
Current vs Lagged Prices |
| Timeline |
DataSolution Lagged Returns
When evaluating DataSolution's market value, investors can use the concept of autocorrelation to see how much of an impact past prices of DataSolution stock have on its future price. DataSolution autocorrelation represents the degree of similarity between a given time horizon and a lagged version of the same horizon over the previous time interval. In other words, DataSolution autocorrelation shows the relationship between DataSolution stock current value and its past values and can show if there is a momentum factor associated with investing in DataSolution.
Regressed Prices |
| Timeline |
Pair Trading with DataSolution
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if DataSolution position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in DataSolution will appreciate offsetting losses from the drop in the long position's value.Moving together with DataSolution Stock
Moving against DataSolution Stock
The ability to find closely correlated positions to DataSolution could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace DataSolution when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back DataSolution - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling DataSolution to buy it.
The correlation of DataSolution is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as DataSolution moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if DataSolution moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for DataSolution can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in DataSolution Stock
DataSolution financial ratios help investors to determine whether DataSolution Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in DataSolution with respect to the benefits of owning DataSolution security.